Instructions to use WindstormLabs/translate-id-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-id-es with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-id-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-id-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a2c3e281bbe336d3d1c2f9ea1dadf2b7372011aa0eb439201fcc1fcde76b059
- Size of remote file:
- 804 kB
- SHA256:
- f6db879f6e4028028c4ba699ab70a953a61cb44d150613c54bebbc910eb07454
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